105 citations · 171 across the 6 of their papers we have counts for
6 papers
Neurodynamic TDOA localization with NLOS mitigation via maximum correntropy criterion
Wenxin Xiong, Christian Schindelhauer, Hing Cheung So +2
In this paper, we exploit the maximum correntropy criterion (MCC) to robustify the traditional time-difference-of-arrival (TDOA) location estimator in the presence of non-line-of-s…
TDOA-based localization with NLOS mitigation via robust model transformation and neurodynamic optimization
Wenxin Xiong, Christian Schindelhauer, Hing Cheung So +3
This paper revisits the problem of locating a signal-emitting source from time-difference-of-arrival (TDOA) measurements under non-line-of-sight (NLOS) propagation. Many currently…
Accelerated Symmetric ADMM and Its Applications in Signal Processing
Jianchao Bai, Junli Liang, Ke Guo +1
The alternating direction method of multipliers (ADMM) were extensively investigated in the past decades for solving separable convex optimization problems. Fewer researchers focus…
Robust Real-time Ellipse Fitting Based on Lagrange Programming Neural Network and Locally Competitive Algorithm
Hao Wang, Chi-Sing Leung, Hing Cheung So +3
Given a set of 2-dimensional (2-D) scattering points, which are usually obtained from the edge detection process, the aim of ellipse fitting is to construct an elliptic equation th…
Robust MIMO Radar Target Localization based on Lagrange Programming Neural Network
Hao Wang, Chi-Sing Leung, Hing Cheung So +3
This paper focuses on target localization in a widely distributed multiple-input-multiple-output (MIMO) radar system. In this system, range measurements, which include the sum of d…
Kernel Least Mean Square with Adaptive Kernel Size
Badong Chen, Junli Liang, Nanning Zheng +1
Kernel adaptive filters (KAF) are a class of powerful nonlinear filters developed in Reproducing Kernel Hilbert Space (RKHS). The Gaussian kernel is usually the default kernel in K…